Surface Quality Augmentation for Metalworking Industry with Pix2Pix
Author: | Dirk HölscherGND, Christoph ReichORCiDGND, Martin KnahlGND, Frank Gut, Nathan Clarke |
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URN: | https://urn:nbn:de:bsz:fn1-opus4-86519 |
DOI: | https://doi.org/10.1016/j.procs.2022.09.145 |
ISSN: | 1877-0509 |
Parent Title (English): | Procedia Computer Science |
Subtitle (English): | 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022) |
Document Type: | Article (peer-reviewed) |
Language: | English |
Year of Completion: | 2022 |
Release Date: | 2022/10/25 |
Tag: | Augmentation; Generative models; Metalworking; Metrics; Peer-reviewed of the scientific committee; Pix2Pix |
Volume: | 207.2022 |
First Page: | 897 |
Last Page: | 906 |
Open-Access-Status: | Open Access |
Licence (German): | ![]() |